Senior Machine Learning Engineer

***This is NOT a remote position - candidate MUST sit in our of offices (ATL,GA OR SLC, UT OR Dallas,TX)

NiCE CX solutions provides state-of-the-art enterprise level analytics for all forms of business communications including speech, chat, email, and general text.   We have a world class research team developing new algorithms and approaches to help companies with solving critical issues such as identifying their best performing agents, preventing fraud, categorizing customer issues, and determining overall customer satisfaction.  If you have interacted with a major contact center in the last decade, it is very likely we have processed your call.

The research group partners with all areas of NiCE’s business to scale out the delivery of new technology and AI models to customers around the world that are tailored to their company, industry, and language needs.  Some, but not all your responsibilities would include:

• Conduct cutting-edge research and develop advanced speech recognition algorithms and models.
• Build and fine-tune deep learning and machine learning models, with a focus on large language models.
• Work closely with internal stakeholders to define model requirements and ensure alignment with business objectives.
• Develop AI predictive models and perform data and model accuracy analyses.
• Produce and present findings, technical concepts, and model recommendations to both technical and non-technical stakeholders.
• Develop and maintain scripts/tools to automate both new model production and updates to existing model packages.
• Stay abreast of the latest advancements in data science research and contribute to the development of our knowledge base.
• Collaborate with developers to design automation and tool improvements for model building.
• Maintain documentation of processes and projects across all supported languages and environments.

Required Skills and Experience

• Experience designing the internals of successful commercial speech recognition systems from vendors such as Microsoft, DeepGram, Meta, AssemblyAI, OpenAI, etc.
• Minimum of 5 years of machine learning work experience with at least 3 years working with deep learning models using real-life data.
• Advanced degree(s) in a STEM field such as Computer Science, Mathematics, Engineering, or equivalent practical experience.
• Excellent proficiency in Python programming and familiarity with deep learning libraries (e.g., PyTorch, TensorFlow).
• Experience turning inference from research level to enterprise production level.
• Advanced knowledge of statistical techniques and concepts (e.g., regression, statistical tests).
• Experience with building and/or fine-tuning large language models and traditional machine learning models.
• Strong research skills with a proven track record of developing and implementing NLP algorithms.
• Excellent verbal and written communication skills, including the ability to present complex concepts to technical and non-technical stakeholders.
• Experience with relational databases and query languages (e.g., SQL).
• Familiarity with version control (e.g., Git) and project management tools (e.g., Jira, Confluence).

• Published research papers in the field of NLP or related areas.
• Experience working on international, globe-spanning teams.
• Experience as part of a software organization.
• Expertise with Big Data technologies (e.g., PySpark).
• Familiarity with ML processes and packages like HuggingFace models.
• Technical writing skills to document processes and communicate findings effectively.
• Experience with cloud platforms (e.g., AWS) and remote access tools.
• Knowledge and interest in foreign languages and linguistics.